{"id":"https://openalex.org/W2148971286","doi":"https://doi.org/10.1109/igarss.2007.4422839","title":"Evaluation of the single and two data set STAP detection algorithms using measured data","display_name":"Evaluation of the single and two data set STAP detection algorithms using measured data","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2148971286","doi":"https://doi.org/10.1109/igarss.2007.4422839","mag":"2148971286"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4422839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4422839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003057050","display_name":"Elias Aboutanios","orcid":"https://orcid.org/0000-0003-1596-4999"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Elias Aboutanios","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076320344","display_name":"B. Mulgrew","orcid":"https://orcid.org/0000-0002-8082-2818"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bernard Mulgrew","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.3631,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.99132512,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"147","issue":null,"first_page":"494","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.9111720323562622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311773896217346},{"id":"https://openalex.org/keywords/space-time-adaptive-processing","display_name":"Space-time adaptive processing","score":0.6471377611160278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6440176367759705},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.58748459815979},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5401498079299927},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5177246928215027},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49854469299316406},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.49100449681282043},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.443094402551651},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37052541971206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36053940653800964},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.24829664826393127},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.15766048431396484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14722058176994324},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1246282160282135}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9111720323562622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311773896217346},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.6471377611160278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6440176367759705},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.58748459815979},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5401498079299927},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5177246928215027},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49854469299316406},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.49100449681282043},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.443094402551651},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37052541971206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36053940653800964},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.24829664826393127},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.15766048431396484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14722058176994324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1246282160282135},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4422839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4422839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1968138597","https://openalex.org/W1986362571","https://openalex.org/W1991091427","https://openalex.org/W2025735319","https://openalex.org/W2029415566","https://openalex.org/W2098492730","https://openalex.org/W2116927049","https://openalex.org/W2137102213","https://openalex.org/W2138541945","https://openalex.org/W2141853673","https://openalex.org/W2143404503","https://openalex.org/W2144158572","https://openalex.org/W2149246019","https://openalex.org/W2159359905","https://openalex.org/W2170588123","https://openalex.org/W4252734343","https://openalex.org/W6642170728","https://openalex.org/W6648381281"],"related_works":["https://openalex.org/W2130932512","https://openalex.org/W2170243420","https://openalex.org/W2106166662","https://openalex.org/W4206580878","https://openalex.org/W1990764752","https://openalex.org/W2332065568","https://openalex.org/W1985188219","https://openalex.org/W2105567464","https://openalex.org/W4312238229","https://openalex.org/W2548502051"],"abstract_inverted_index":{"Traditional":[0],"space":[1],"time":[2],"adaptive":[3],"processors":[4],"for":[5],"radar":[6],"target":[7],"detection":[8,37],"require":[9],"a":[10,106],"training":[11,30,59],"data":[12,55,79],"set":[13],"which":[14],"is":[15],"usually":[16],"drawn":[17],"from":[18,91],"adjacent":[19],"range":[20],"gates.":[21],"Clutter":[22],"heterogeneity,":[23],"however,":[24],"can":[25],"severely":[26],"limit":[27],"the":[28,36,43,53,72,77,83,87,92,96,100,110,122],"available":[29],"sample":[31],"support":[32],"and":[33,74,95],"consequently":[34],"degrade":[35],"performance.":[38],"The":[39],"SDS":[40],"algorithms,":[41],"on":[42,52],"other":[44],"hand,":[45],"overcome":[46],"this":[47,62],"problem":[48],"by":[49],"operating":[50],"solely":[51],"test":[54],"without":[56],"recourse":[57],"to":[58],"data.":[60],"In":[61],"paper":[63],"we":[64],"evaluate":[65],"both":[66],"of":[67,86,99,109,119,121],"these":[68],"approaches,":[69],"in":[70,115],"particular":[71],"AMF":[73,88],"MLED,":[75],"using":[76],"MCARM":[78],"set.":[80],"We":[81,102],"illustrate":[82],"performance":[84,117],"degradation":[85],"that":[89,105],"results":[90,114],"clutter":[93],"heterogeneity":[94],"corresponding":[97],"advantage":[98],"MLED.":[101],"also":[103],"show":[104],"calibration":[107],"step":[108],"spatial":[111],"steering":[112],"vectors":[113],"significant":[116],"improvement":[118],"all":[120],"algorithms":[123],"considered":[124],"here.":[125]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}